Smart Tracking of Internal Layers of Ice in Radar Data via Multi-Scale Learning. - Masoud Yari; Maryam Rahnemoonfar; John Paden; Ibikunle Oluwanisola; Lora Koenig; Lynn Montgomery (IEEE BigData, 2019)

Snow Radar Layer Tracking Using Iterative Neural Network Approach. - Oluwanisola Ibikunle; John Paden; Maryam Rahnemoonfar; David J. Crandall; Masoud Yari (IGARSS, 2020)

Deep Learning on Airborne Radar Echograms for Tracing Snow Accumulation Layers of the Greenland Ice Sheet. - Debvrat Varshney; Maryam Rahnemoonfar; Masoud Yari; John Paden; Oluwanisola Ibikunle; Jilu Li (Remote. Sens., 2021)

Airborne Snow Radar Data Simulation With Deep Learning and Physics-Driven Methods. - Masoud Yari; Oluwanisola Ibikunle; Debvrat Varshney; Tashnim Chowdhury; Argho Sarkar; John Paden; Jilu Li; Maryam Rahnemoonfar (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Learning Snow Layer Thickness Through Physics Defined Labels. - Debvrat Varshney; Oluwanisola Ibikunle; John Paden; Maryam Rahnemoonfar (IGARSS, 2022)

ECHOVIT: Vision Transformers Using Fast-And-Slow Time Embeddings. - Oluwanisola Ibikunle; Debvrat Varshney; Jilu Li; Maryam Rahnemoonfar; John Paden (IGARSS, 2023)

Skip-WaveNet: A Wavelet based Multi-scale Architecture to Trace Firn Layers in Radar Echograms. - Debvrat Varshney; Masoud Yari; Oluwanisola Ibikunle; Jilu Li; John Paden; Maryam Rahnemoonfar (CoRR, 2023)

AI-ready Snow Radar Echogram Dataset (SRED) for climate change monitoring. - Oluwanisola Ibikunle; Hara Talasila; Debvrat Varshney; Jilu Li; John Paden; Maryam Rahnemoonfar (CoRR, 2025)